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Data Analytics Sales Specialist, Enterprise, Brazil (Portuguese, English)

GoogleSão Paulo, Brazil
Please submit your resume in English - we can only consider applications submitted in this language.

Minimum qualifications:

  • Bachelor's degree or equivalent practical sales experience.
  • 7 years of experience in quota-carrying enterprise sales, including data management, database, analytics, cloud infrastructure, or AI/ML solutions.
  • Experience selling business outcomes to line of business executives across industries (such as Financial Services, Life Sciences, Retail, Manufacturing) or horizontal functions (such as Finance, Marketing, Operations).
  • Experience building business cases through workshops or product demos to business executives.
  • Experience building and influencing partnerships with technical decision-makers (Such as Enterprise Architects, Data Engineers or Data Scientists).
  • Ability to communicate in Portuguese and English fluently to manage stakeholder relationships.

Preferred qualifications:

  • Experience closing data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
  • Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
  • Demonstrated success positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
  • Proven track record of collaborating with Global System Integrators, hyperscalers, and ISVs to co-sell and accelerate pipeline.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Data Analytics Sales Specialist, you will blend sales expertise with in-depth knowledge of Data and AI solutions. Your primary focus is to drive measurable business impact and deliver high-value outcomes for key customer stakeholders.

In this role, you will engage directly with CxO-level executives across the field while orchestrating internal cross-functional teams and external partners to manage the full business lifecycle. You will also advocate sales strategy, lead demand generation initiatives, and oversee commercial execution.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Deliver against quota and achieve or exceed strategic business and growth goals. Drive growth by "hunting" net-new greenfield logos and net-new workloads in existing accounts through proactive campaigns.
  • Engage LoB leaders, CDO, CFO, CMO, CAIO, through value-selling, tying modern Data and AI capabilities to quantified business outcomes.
    Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
  • Align cross-functionally with FSRs and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
  • Illustrate modern architectures (e.g., BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
  • Develop Analytics and AI solution roadmaps with customers, understanding their unique and complex requirements on a business and technical level. 

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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